J. Peres

816 total citations · 1 hit paper
17 papers, 585 citations indexed

About

J. Peres is a scholar working on Control and Systems Engineering, Mechanical Engineering and Molecular Biology. According to data from OpenAlex, J. Peres has authored 17 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 5 papers in Mechanical Engineering and 3 papers in Molecular Biology. Recurrent topics in J. Peres's work include Advanced Control Systems Optimization (9 papers), Fault Detection and Control Systems (7 papers) and Bacteriophages and microbial interactions (2 papers). J. Peres is often cited by papers focused on Advanced Control Systems Optimization (9 papers), Fault Detection and Control Systems (7 papers) and Bacteriophages and microbial interactions (2 papers). J. Peres collaborates with scholars based in Portugal and Brazil. J. Peres's co-authors include S. Feyo de Azevedo, Rui Oliveira, Moritz von Stosch, P. C. P. Ferreira, Marco Antônio Campos, R. R. Golgher, E. W. Kitajima, Flávio Guimarães da Fonseca, Erna Geessien Kroon and Tatiana F. Vieira and has published in prestigious journals such as Expert Systems with Applications, Computers & Chemical Engineering and Process Safety and Environmental Protection.

In The Last Decade

J. Peres

17 papers receiving 567 citations

Hit Papers

Hybrid semi-parametric modeling in process systems engine... 2013 2026 2017 2021 2013 100 200 300

Peers

J. Peres
Qing Cui China
Liange He China
Wang Zhao China
Claudio Ávila United Kingdom
J. Peres
Citations per year, relative to J. Peres J. Peres (= 1×) peers Brandon Corbett

Countries citing papers authored by J. Peres

Since Specialization
Citations

This map shows the geographic impact of J. Peres's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. Peres with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Peres more than expected).

Fields of papers citing papers by J. Peres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Peres. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. Peres. The network helps show where J. Peres may publish in the future.

Co-authorship network of co-authors of J. Peres

This figure shows the co-authorship network connecting the top 25 collaborators of J. Peres. A scholar is included among the top collaborators of J. Peres based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Peres. J. Peres is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
2.
Ribeiro, M.F., et al.. (2021). Statistical modelling of the amination reaction of cyclohexanol to produce cyclohexylamine over a commercial Ni-based catalyst. Process Safety and Environmental Protection. 170. 189–200. 2 indexed citations
3.
Azevedo, Andreia S., João Santos Baptista, Carina Almeida, et al.. (2020). Increased Intraspecies Diversity in Escherichia coli Biofilms Promotes Cellular Growth at the Expense of Matrix Production. Antibiotics. 9(11). 818–818. 9 indexed citations
4.
Sousa, Sérgio F., J. Peres, Manuel A. N. Coelho, & Tatiana F. Vieira. (2018). Analyzing PEGylation through Molecular Dynamics Simulations. ChemistrySelect. 3(29). 8415–8427. 22 indexed citations
5.
Peres, J., et al.. (2014). An efficient method for the numerical integration of measured variable dependent ordinary differential equations. Engineering Applications of Artificial Intelligence. 38. 24–33. 4 indexed citations
6.
Stosch, Moritz von, Rui Oliveira, J. Peres, & S. Feyo de Azevedo. (2013). Hybrid semi-parametric modeling in process systems engineering: Past, present and future. Computers & Chemical Engineering. 60. 86–101. 317 indexed citations breakdown →
7.
Barreiros, Luísa, J. Peres, Nuno F. Azevedo, Célia M. Manaia, & Olga C. Nunes. (2012). Environmental factors influencing molinate biodegradation by a two-member mixed culture in rice paddy field floodwater. International Biodeterioration & Biodegradation. 72. 52–58. 10 indexed citations
8.
Stosch, Moritz von, Rui Oliveira, J. Peres, & S. Feyo de Azevedo. (2012). A general hybrid semi-parametric process control framework. Journal of Process Control. 22(7). 1171–1181. 22 indexed citations
9.
Stosch, Moritz von, et al.. (2011). Hybrid modeling framework for process analytical technology: Application to Bordetella pertussis cultures. Biotechnology Progress. 28(1). 284–291. 31 indexed citations
10.
Stosch, Moritz von, Rui Oliveira, J. Peres, & S. Feyo de Azevedo. (2011). A novel identification method for hybrid (N)PLS dynamical systems with application to bioprocesses. Expert Systems with Applications. 38(9). 10862–10874. 35 indexed citations
11.
Stosch, Moritz von, J. Peres, S. Feyo de Azevedo, & Rui Oliveira. (2010). Modelling biochemical networks with intrinsic time delays: a hybrid semi-parametric approach. BMC Systems Biology. 4(1). 131–131. 15 indexed citations
12.
Peres, J., Rui Oliveira, & S. Feyo de Azevedo. (2007). Bioprocess hybrid parametric/nonparametric modelling based on the concept of mixture of experts. Biochemical Engineering Journal. 39(1). 190–206. 18 indexed citations
13.
Oliveira, Rui, J. Peres, & S. Feyo de Azevedo. (2004). Hybrid Modelling of Fermentation Processes Using Artificial Neural Networks: A Study on Identification and Stability. IFAC Proceedings Volumes. 37(3). 195–200. 3 indexed citations
14.
Peres, J., Rui Oliveira, & S. Feyo de Azevedo. (2004). Hybrid Modelling of Fermentation Processes: A Study on the Use of Modular Neural Networks for Modelling Cells Reaction Kinetics. IFAC Proceedings Volumes. 37(3). 293–298. 1 indexed citations
15.
Peres, J., Rui Oliveira, & S. Feyo de Azevedo. (2001). Knowledge based modular networks for process modelling and control. Computers & Chemical Engineering. 25(4-6). 783–791. 21 indexed citations
16.
Fonseca, Flávio Guimarães da, Marco Antônio Campos, E. W. Kitajima, et al.. (1998). Morphological and molecular characterization of the poxvirus BeAn 58058. Archives of Virology. 143(6). 1171–1186. 71 indexed citations
17.
Peres, J., et al.. (1979). Human laboratory infection with Brucella canis.. 31(2). 141–145. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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